By Topic

Ranking Methods of Intuitionistic Fuzzy Numbers in Multicriteria Decision Making

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Lingling Shen ; Dept. of Manage. Sci. & Eng., Nanjing Normal Univ., Nanjing, China ; Hai Wang ; Xiangqian Feng

Intuitionistic fuzzy theory is an excellent tool to represent uncertainty and vagueness in fuzzy multi criteria decision making problems. When intuitionistic fuzzy numbers are used to express fuzzy information, they need to compare with each other to indicate the relative importance or priority. This paper reviews an existed method of ranking two intuitionistic fuzzy numbers, and further defines another ranking method based on probabilities. Then we present two step-by-step processes to rank intuitionistic fuzzy numbers based on probabilities and both hesitations and probabilities, respectively. Each process is illustrated by a numerical example and its own available range or condition is discussed as well.

Published in:

2010 3rd International Conference on Information Management, Innovation Management and Industrial Engineering  (Volume:2 )

Date of Conference:

26-28 Nov. 2010